Jason, James, and Verdify

Jason and James standing inside the Verdify greenhouse near the controller, sink, sensors, and north-wall equipment — Verdify started as a father-son greenhouse build in Longmont, Colorado. The AI layer came later, after the room was already real enough to hold the software accountable.

Verdify is a family public lab, not a SaaS landing page. The project began with a backyard greenhouse in Longmont, Colorado, then grew into a practical way to test AI planning against a room full of plants, pipes, sensors, weather, and imperfect hardware.

The technical claim lives on the system pages. This page is the people-and-project context: who built it, why it is public, and where to find corrections or media material.

For serious questions, corrections, collaboration, build comparisons, or press, use the contact form.

Family build

Jason and James built the greenhouse first; the AI layer came after the room was real.

Longmont lab

The site documents one Colorado greenhouse, not a generic agriculture claim.

Public notebook

The project leaves enough evidence online for readers to challenge the story.

Corrections welcome

Pages are written to be inspected, corrected, and improved over time.

James Vallery

James is a computer science student at the University of Colorado Boulder and a builder with public work across Verdify, hackathon projects, and full-stack software experiments. His public footprint includes software projects, HackCU work, and the Verdify repository.

Computer science

CU Boulder student building toward practical software, AI tooling, and systems work.

Project builder

Public GitHub work includes Verdify and other software projects under the jrvallery handle.

Hackathon work

Token Gauge tracks AI API spend and was built at HackCU 12 with public Devpost and GitHub artifacts.

Public links:

Jason Vallery

Jason Vallery’s public work sits around AI infrastructure, cloud platforms, storage systems, product strategy, and community technology education. Professionally, he works in cloud product leadership at VAST Data. Locally, he is tied into Longmont’s technology community through Longmont NextWave and public AI education efforts.

Verdify is where that background meets a physical system that does not care if the architecture diagram is elegant. If the forecast shifts, the VPD band is wrong, or the controller pushes stale setpoints, the plants and scorecards say so.

AI infrastructure

Public work around VAST Data, cloud systems, and the data layer behind continuous AI.

Community AI

Founder of Longmont NextWave and speaker on practical local AI literacy.

Public builder

Open-source projects, public talks, and practical experiments around AI systems.

Public links:

The Project

The greenhouse now has climate probes, soil sensors, hydroponic monitoring, energy meters, weather feeds, cameras, and a broad Home Assistant / ESPHome entity surface. Current schema and object counts live in Data Model; the implementation details are split across the site so each claim has one home:

System overviewAI Greenhouse Control

The plain-English path through sensing, planning, operator briefings, measurement, and learning.

Safety boundarySafety Architecture

The relay-control argument and firmware responsibility live there.

EvidenceEvidence Map

Live dashboards, generated archives, scorecards, APIs, and sample exports start there.

Start Here

Press And Media Notes

Verdify is a public AI greenhouse in Longmont, Colorado, built as a family lab by Jason and James Vallery.

Short description: Verdify is a Colorado greenhouse used as a public testbed for AI-assisted climate planning. The project publishes enough evidence for readers to compare the story against a physical system.

Editor notes:

Pronunciation: VER-duh-fy.
Location: Longmont, Boulder County, Colorado.
Project posture: personal public lab, not a SaaS product or commercial greenhouse product.
Best one-line framing: a physical greenhouse lab where AI claims have to meet public evidence.
Contact route: use Contact Verdify and choose Press or Correction.

Media assets:

Social card1200 x 630 JPEG

Public-ready card for the greenhouse lab.

Greenhouse hero photoExterior greenhouse

The greenhouse lit at night in winter conditions.

ESP32 controller photoController hardware

North-wall controller hardware inside the greenhouse.

Cortex rack photoLocal inference hardware

The home-lab GPU rack used for routine local planning events.

Architecture diagramPublic-safe SVG

Public-safe system diagram for articles and talks.

Useful links:

For corrections, use the contact form and include the page URL plus the specific claim or data point that needs review.

Lab